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Motion-Based Recognition, Mubarak Shah; Ramesh Jain


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Автор: Mubarak Shah; Ramesh Jain
Название:  Motion-Based Recognition
ISBN: 9780792346180
Издательство: Springer
Классификация:
ISBN-10: 0792346181
Обложка/Формат: Hardcover
Страницы: 374
Вес: 0.72 кг.
Дата издания: 31.07.1997
Серия: Computational Imaging and Vision
Язык: English
Размер: 234 x 156 x 22
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Deals with the recognition of an object and/or its motion, based on motion in a series of images. This book consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, and activity recognition.


Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Epipolar Geometry in Stereo, Motion and Object Recognition

Автор: Gang Xu; Zhengyou Zhang
Название: Epipolar Geometry in Stereo, Motion and Object Recognition
ISBN: 9048147433 ISBN-13(EAN): 9789048147434
Издательство: Springer
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Цена: 16769.00 р.
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Описание: 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.

Epipolar Geometry in Stereo, Motion and Object Recognition

Автор: Gang Xu; Zhengyou Zhang
Название: Epipolar Geometry in Stereo, Motion and Object Recognition
ISBN: 0792341996 ISBN-13(EAN): 9780792341994
Издательство: Springer
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Цена: 16769.00 р.
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Описание: 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.

Graph-Based Representations in Pattern Recognition

Автор: Walter Kropatsch; Nicole M. Artner; Yll Haxhimusa;
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3642382207 ISBN-13(EAN): 9783642382208
Издательство: Springer
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Цена: 6429.00 р.
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Описание: This book constitutes the refereed proceedings of the 9th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2013, held in Vienna, Austria, in May 2013. They are organized in topical sections named: finding subregions in graphs; graph representations, segmentation and shape; and search in graphs.

Human Face Recognition Using Third-Order Synthetic Neural Networks

Автор: Okechukwu A. Uwechue; Abhijit S. Pandya
Название: Human Face Recognition Using Third-Order Synthetic Neural Networks
ISBN: 1461368324 ISBN-13(EAN): 9781461368328
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Anand Rangarajan; M?rio A. T. Figueiredo; Josiane
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3540404988 ISBN-13(EAN): 9783540404989
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This volume consists of the 33 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2003)which was held at Instituto Superior T ecnico (IST), the - gineeringSchooloftheTechnicalUniversityofLisbon, PortugalduringJuly7-9, 2003.Thisworkshopwasthefourthinthe serieswhichstartedwithEMMCVPR 1997 held in Venice, Italy in May 1997 and continued with EMMCVPR 1999 held in York, UK in July 1999 and EMMCVPR 2001 held in Sophia-Antipolis, France in September 2001. Many problems in computer vision and pattern recognition (CVPR) are couchedintheframeworkofoptimization.Theminimizationofaglobalquantity, often referred to as the energy, forms the bulwark of most approachesin CVPR. Disparate approaches, such as discrete and probabilistic formulations on the one hand and continuous, deterministic strategies on the other, often have optimi- tion or energy minimization as a common theme. Instances of energy minimi- tion arise in Gibbs/Markov modeling, Bayesian decision theory, geometric and variational approaches and in areas in CVPR such as object recognition and - trieval, image segmentation, registration, reconstruction, classi?cation and data mining. The aim of the EMMCVPR workshops is to bring together researchers with interests in these disparate areas of CVPR but with an underlying commitment to some form of energy minimization. Although the subject is traditionally well representedinmajorinternationalconferencesonCVPR, thisworkshopprovides a forum wherein researchers can report their recent work and engage in more informal discussions.

Pattern Recognition Applications and Methods

Автор: Ana Fred; Maria De Marsico
Название: Pattern Recognition Applications and Methods
ISBN: 3319126091 ISBN-13(EAN): 9783319126098
Издательство: Springer
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Цена: 22203.00 р.
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Описание: This book contains the extended and revised versions of a set of selected papers from the 2nd International Conference on Pattern Recognition (ICPRAM 2013), held in Barcelona, Spain, from 15 to 18 February, 2013.

On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities

Автор: Jens Spehr
Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
ISBN: 3319113240 ISBN-13(EAN): 9783319113241
Издательство: Springer
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Цена: 18284.00 р.
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Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.

Optical Character Recognition

Автор: Stephen V. Rice; George Nagy; Thomas A. Nartker
Название: Optical Character Recognition
ISBN: 146137281X ISBN-13(EAN): 9781461372813
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date.

Pattern Recognition Theory and Applications

Автор: J. Kittler; V.W. Fu; L.F Pau
Название: Pattern Recognition Theory and Applications
ISBN: 9400977743 ISBN-13(EAN): 9789400977747
Издательство: Springer
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Цена: 49613.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute, Oxford, England, March 29-April 10, 1981

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Edwin R. Hancock; Marcello Pelillo
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3540662944 ISBN-13(EAN): 9783540662945
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This volume covers the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, held in York in July 1999. It includes sections on minimum description length, Markov random fields, contours, search and consistent labelling, and tracking and video.

Integrating Graphics and Vision for Object Recognition

Автор: Mark R. Stevens; J. Ross Beveridge
Название: Integrating Graphics and Vision for Object Recognition
ISBN: 0792372077 ISBN-13(EAN): 9780792372073
Издательство: Springer
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Цена: 23751.00 р.
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Описание: Serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis.


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